{"id":"W4292291160","doi":"","title":"Climate variability: seasonal forecast for optimal management of water resources","year":2000,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Environmental science; Climatology; Water resources; Meteorology; Geography; Geology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001928,0.0004532153,0.0003397796,0.0004404967,0.0004049668,0.001603366,0.0004943082,0.001013798,0.003632694],"category_scores_gemma":[0.00315023,0.0002504505,0.0003831475,0.00100061,0.0004194637,0.001331052,0.0005830915,0.001022354,0.0004995803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164215,"about_ca_system_score_gemma":0.001757561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05276735,"about_ca_topic_score_gemma":0.03350326,"domain_scores_codex":[0.9997997,0.00007579984,0.000009406262,0.00003920487,0.00005788018,0.00001798585],"domain_scores_gemma":[0.999709,0.0001306071,0.00003982339,0.0000188931,0.00007258423,0.00002919936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001678156,0.00003378434,0.01033711,0.0003876515,0.00009929032,0.0001081037,0.0003481311,0.3886234,0.001853156,0.1582819,0.182685,0.2570747],"study_design_scores_gemma":[0.00004789875,0.00007065958,0.01381074,0.0002190568,0.00005497917,0.00004876779,0.0002456116,0.7020272,0.0006589665,0.1233974,0.1593535,0.00006516298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05740648,0.03426404,0.749922,0.05580831,0.003894549,0.0002340777,0.009398228,0.002661594,0.08641078],"genre_scores_gemma":[0.8187876,0.03754663,0.1051526,0.001370838,0.005455799,0.0002785429,0.006230584,0.0006231084,0.02455426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05276735,"threshold_uncertainty_score":0.1049204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009195876589350685,"score_gpt":0.193124947945086,"score_spread":0.1839290713557353,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}